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Publications

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  • Proceedings of the Network and Distributed System Security (NDSS) Symposium 2027
    • A+ tier

“What I See is What I Hear”: Deepfake Detection Across Diverse Hearing Abilities (Accepted)

Magdalena Pasternak, Malvika Jadhav, Palavi V. Bhole, Aviva Smith, Elaina Trapatsos, Vincent Bindschaedler, Roshan Peiris, Ersin Uzun, Patrick Traynor, Matthew Wright, Kevin R. B. Butler

  • 2027-03-22
  • IEEE/IAPR International Joint Conference on Biometrics (IJCB 2026)

Discrete Optimal Transport is a Strong Audio Adversarial Attack

Anton Selitskiy, Akib Shahriyar, Jishnuraj Prakasan

  • 2026-09-01
  • Journal of Retailing and Consumer Services, Vol. 93, Article 104886

The Digital Afterlife: Navigating the Ethical and Temporal Boundaries of Grieftech Perceptions and Usage Intentions

Emi Moriuchi, Linda Hollebeek, Moira Clark, Matthew Wright

  • 2026-08-01
  • Trustworthy, Robust, Uncertainty-Aware, and Explainable Visual Intelligence and Beyond (TRUE-V), CVPR Workshop

Diverse by Design: Architectural Constraints for Prototype-Based Interpretability

Xinmiao Lin, Matthew Wright

  • 2026-06-01
  • Manchester University Press, in Artificial Intelligence and International Security: Redefining Arms Races and Contemporary Warfare (A. Vieira, A. Adib-Moghaddam, M. Eslami, eds.)

Deepfakes in Narrative Warfare

C. Schwartz, J. Pelletier, D. I. Schwartz, M. Wright, A. Hickerson

  • 2026-06-01
  • 2026 IEEE 20th International Conference on Automatic Face and Gesture Recognition (FG)

Open Set Face Forgery Detection via Dual-Level Evidence Collection

Zhongyi Cai, Bryce Gernon, Wentao Bao, Yifan Li, Matthew Wright, Yu Kong

  • 2026-05-25
  • ACM Transactions on Privacy and Security (TOPS), Vol. 29, No. 2

PadNet: Defending Neural Networks Against Adversarial Examples

Armon Barton, Matthew Wright, Shaikh Akib Shahriyar, Edgar Jatho, Mohammad Saidur Rahman, Kantha Girish Gangadhara, Jiang Ming

  • 2026-03-24
  • Proceedings of the CHI Conference on Human Factors in Computing Systems
    • A+ tier

Beyond the Naked Eye: Empirical Study of How People Perceive, Detect, and Respond to AI-Manipulated Videos

Kaniz Fatima, Y. Kelly Wu, Ersin Uzun

  • 2026-02-26
  • Transactions on Machine Learning Research (TMLR)

Overcoming Open-Set Approaches to Adversarial Defense

Edgar Wilfred Jatho, Armon Barton, Matthew Wright, Patrick McClure

  • 2026-01-01
  • Proquest

DeFaking Deepfakes: Designing and Evaluating AI-Powered Digital Media Verification Tools for Journalists

Saniat Javid Sohrawardi

  • 2025-12-12
  • Routledge

Fake-Checking: A Journalist’s Guide to Deepfakes

Andrea Hickerson, Christopher Schwartz, Matthew Wright

  • 2025-12-04
  • PROMISE–PROMoting AI’s Safe usage for Elections

Verification AI in the Newsroom: A Cross-Cultural Study of Journalists’ Use of Deepfake Detection Tools

Saniat Javid Sohrawardi, Y Kelly Wu, Matthew Wright

  • 2025-10-01
  • Proceedings of the CHI Conference on Human Factors in Computing Systems
    • A+ tier

Understanding and Empowering Intelligence Analysts: User-Centered Design for Deepfake Detection Tools

Y. Kelly Wu, Saniat Javid Sohrawardi, Candice R. Gerstner, Matthew Wright

  • 2025-04-26
  • Proceedings of the CHI Conference on Human Factors in Computing Systems
    • A+ tier

Dungeons & Deepfakes: Understanding: Using Scenario-based role-play to study journalists’ behavior towards using AI-based verification tools for video content

Saniat Javid Sohrawardi, Y Kelly Wu, Andrea Hickerson, Matthew Wright

  • 2024-05-11
  • The Conversation

Voice Deepfakes are Calling – Here’s What They are and How to Avoid Getting Scammed

Christopher Schwartz, Matthew Wright

  • 2023-03-17
  • Proceedings of the 1st Workshop on Security Implications of Deepfakes and Cheapfakes

Evaluating Robustness of Sequence-based Deepfake Detector Models by Adversarial Perturbation

Shaikh Akib Shahriyar, Matthew Wright

  • 2022-05-30
  • British Machine Vision Conference

Gradient Frequency Modulation for Visually Explaining Video Understanding Models

Xinmiao Lin, Wentao Bao, Matthew Wright, Yu Kong

  • 2021-11-23
  • IEEE Western New York Image and Signal Processing Workshop

Poster: Evaluating Robustness of Sequence-based Deepfake Detector Models by Adversarial Perturbation

Shaikh Akib Shahriyar, Matthew Wright

  • 2021-10-22
  • IEEE Western New York Image and Signal Processing Workshop

Poster: Leveraging edges and optical flow on faces for deepfake detection

Saniat Javid Sohrawardi, Akash Chintha, Aishwarya Rao, Kartavya M Bhatt, Matthew Wright, Raymond Ptucha

  • 2021-10-22
  • The Conversation

In a Battle of AI Versus AI, Researchers are Preparing for the Coming Wave of Deepfake Propaganda

Saniat Javid Sohrawardi, Matthew Wright

  • 2020-10-09
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